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Paper Citation Record · LEDGER

Allegro: Open the Black Box of Commercial-Level Video Generation Model

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2410.15458.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.15458 v1

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:29:59.155701Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T23:59:06.234618Z

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Outbound references

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Pith citing papers

Observation 5749ee67-3660-4968-aec5-4d747236948e · inbound

VIRES: Video Instance Repainting via Sketch and Text Guided Generation cites this paper.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 53

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source=pdf_text observed=2026-08-12T13:29:59.155701Z digest=sha256:ffdefff6e963083dcee24985fc0785201a9cca81a38ad090f70014f05589047e

Observation f647344a-a72b-4487-9aaa-b17a7f8bb391 · inbound

Identity-Preserving Text-to-Video Generation by Frequency Decomposition cites this paper.

Identity-Preserving Text-to-Video Generation by Frequency Decomposition Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 97

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source=pdf_text observed=2026-08-12T12:10:27.437705Z digest=sha256:7cf2c64778e0ba2fba8a4614ba86984a80e661de9e91a89088e1df2ead25b319

Observation c0ba2c8f-f302-471e-9670-45192d132241 · inbound

WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model cites this paper.

WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 50

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source=pdf_text observed=2026-08-12T12:11:26.931949Z digest=sha256:a6559c3a11afa056b17561905c6de8ab37287890c84867690a076500419a1a8a

Observation 751af8ba-2a72-4a5c-a9cb-cd6a7cb971b5 · inbound

Fleximo: Towards Flexible Text-to-Human Motion Video Generation cites this paper.

Fleximo: Towards Flexible Text-to-Human Motion Video Generation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 44

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no resolver link, observed 2026-08-12T10:13:40.720090Z

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source=pdf_text observed=2026-08-12T10:13:40.720090Z digest=sha256:c116d346332db5d03f3b248b58794c7312f35e16fca50cf13dd9ebf8adb1bdb8

Observation 89506578-e208-4f5b-80e6-2ac5e98685cc · inbound

Open-Sora Plan: Open-Source Large Video Generation Model cites this paper.

Open-Sora Plan: Open-Source Large Video Generation Model Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 29

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verified exact
arxiv_id, observed 2026-05-23T08:42:45.213636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T08:38:27.946746Z digest=sha256:04f1bc3a832ec7f1319095e187c7ed7f181a7a84e86eaca944b4ebddfe5627a2

Observation 9b04fb11-950d-4bc0-ad3b-865b3f34d3a7 · inbound

Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation cites this paper.

Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 54

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no resolver link, observed 2026-08-12T04:32:44.601064Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:32:44.601064Z digest=sha256:9e22c26b4bb3d36c857139cc99f775ace11a9c21ce0529c323aa4853635ba5bf

Observation 345fe5b6-7b2f-4d47-877b-f0ac7442d423 · inbound

HunyuanVideo: A Systematic Framework For Large Video Generative Models cites this paper.

HunyuanVideo: A Systematic Framework For Large Video Generative Models Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 104

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arxiv_id, observed 2026-05-23T07:42:43.441999Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T07:41:58.617477Z digest=sha256:2a268215c5f0236735cd82a72d17654bc1675a65e5ee59a4d56ff3f94e6095de

Observation 81d642ca-10aa-4bc9-a2ff-0970eafa2160 · inbound

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device cites this paper.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 78

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source=pdf_text observed=2026-08-11T15:58:37.123917Z digest=sha256:5efd5826855ff03eefa0891bb2f549611cbd8e5a7c96aab364f2eee83465d37a

Observation f160d824-b045-4126-864b-19561cef320b · inbound

AV-Link: Temporally-Aligned Diffusion Features for Cross-Modal Audio-Video Generation cites this paper.

AV-Link: Temporally-Aligned Diffusion Features for Cross-Modal Audio-Video Generation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 106

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source=pdf_text observed=2026-08-11T11:38:08.742517Z digest=sha256:89e5fd0667b686eeecbfc4edf6f9b9c2e050fa6a8ebba573549cdc2e3afe4f56

Observation 3619a73a-f57a-4d64-9f1c-32d5a0585e98 · inbound

VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models cites this paper.

VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 84

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source=pdf_text observed=2026-08-11T00:10:16.837253Z digest=sha256:42479e00b12824dd568094acdb136f21f1433a920e00e264d0158831f86a721d

Observation c124fe08-2df0-4769-bf50-3f35beab9097 · inbound

Ingredients: Blending Custom Photos with Video Diffusion Transformers cites this paper.

Ingredients: Blending Custom Photos with Video Diffusion Transformers Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 100

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source=pdf_text observed=2026-08-10T22:25:26.104189Z digest=sha256:86f3b0c4f3b89a6e170e116a95f9e2f6e4e8b630f816324ec01a06abc16e6110

Observation f60d5061-754f-4480-a00b-65e1bbed8677 · inbound

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model cites this paper.

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 95

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source=pdf_text observed=2026-08-07T15:43:38.016460Z digest=sha256:46a7e28e1d6e22081c7c2cd690a1f321fd2b31bfa8e02c69224f6bace097b203

Observation 674d369a-5816-41c1-9ae9-3c02adad90f1 · inbound

HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters cites this paper.

HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 43

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source=pdf_text observed=2026-08-07T14:02:30.456640Z digest=sha256:d29cbd5ee5586183f70ccccbad1e6d8990809943e1aa1f31ccc44d377cbb89fe

Observation de01d5bf-5eaa-46e7-a13c-956697507210 · inbound

OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation cites this paper.

OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 124

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source=pdf_text observed=2026-08-07T13:59:37.247982Z digest=sha256:d874e26154efb534f2dd9664aa0cb5e1687b3072753e7eb76b5668b9152b5334

Observation 0f82b039-061e-4c9a-ab90-560cdd0c3a34 · inbound

SkyReels-Audio: Omni Audio-Conditioned Talking Portraits in Video Diffusion Transformers cites this paper.

SkyReels-Audio: Omni Audio-Conditioned Talking Portraits in Video Diffusion Transformers Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 82

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source=pdf_text observed=2026-08-07T12:01:09.480529Z digest=sha256:664db743bd0c754175879642a8151734658b09545e67a67912dfac3b90879706

Observation 7a15593f-66ba-4175-a21e-83154ffc2f23 · inbound

OmniV2V: Versatile Video Generation and Editing via Dynamic Content Manipulation cites this paper.

OmniV2V: Versatile Video Generation and Editing via Dynamic Content Manipulation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 63

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source=pdf_text observed=2026-08-07T11:40:23.559628Z digest=sha256:6b821933a9aa33c01e6362d73167288ab98f25c7bb759cad361fc64f598873ba

Observation ef30a557-886f-49d0-8ac8-70202a503d7d · inbound

PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement cites this paper.

PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 48

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source=pdf_text observed=2026-08-07T05:30:33.055697Z digest=sha256:f96b70ecec812bdc27ef432d28c8f2d223a17da60e9956ebaedef0d3724a018b

Observation 8298ced2-5661-40d2-a24b-03c834d10b85 · inbound

HunyuanVideo-HOMA: Generic Human-Object Interaction in Multimodal Driven Human Animation cites this paper.

HunyuanVideo-HOMA: Generic Human-Object Interaction in Multimodal Driven Human Animation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 52

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source=arxiv_source observed=2026-08-07T05:07:15.188299Z digest=sha256:6c9261dc9c9473ed803b9ce9fd3c176f80c04cfb8b6b1a10f05d7b7941920f52

Observation 3b9c747b-fcd6-4b46-99e3-3dd3ab03be97 · inbound

GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning cites this paper.

GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 20

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source=pdf_text observed=2026-08-07T04:29:36.769463Z digest=sha256:afb7559ae9264f07b633ba9f98af1d04d4b5a43e2eb9c11a72ad345e489c0033

Observation f40f6c56-d9b4-4fbd-8eca-ca6c547f3377 · inbound

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos cites this paper.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 44

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source=arxiv_source observed=2026-08-06T19:25:08.647722Z digest=sha256:b804203cc67dbb3ac6d615025eaf3d757c4247f461f2fb7512251842ef3c8309

Observation 7ac1f8d8-de29-43b0-bfbf-1d16fead640c · inbound

LoViC: Efficient Long Video Generation with Context Compression cites this paper.

LoViC: Efficient Long Video Generation with Context Compression Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 94

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source=arxiv_source observed=2026-08-06T16:39:33.844639Z digest=sha256:7d711fb78c086e45d4dd5cc82830958178da16b1f6b51937aab65636a98bc814

Observation 30b5a8eb-6250-443c-88e6-b9ba1b99d06c · inbound

Improving Video Diffusion Transformer Training by Multi-Feature Fusion and Alignment from Self-Supervised Vision Encoders cites this paper.

Improving Video Diffusion Transformer Training by Multi-Feature Fusion and Alignment from Self-Supervised Vision Encoders Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 34

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source=pdf_text observed=2026-08-04T18:58:11.035409Z digest=sha256:43f445169745841982e44991af6fa3d715933048ae397bc8de73aeaec176fef1

Observation 0dc8eefc-fcde-4788-b424-d6f0fcef94c2 · inbound

ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation cites this paper.

ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 84

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arxiv_id, observed 2026-05-15T09:45:23.245655Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f16c48cd-0194-4afb-9b9a-68c00bc42e9e · inbound

Latent-Compressed Variational Autoencoder for Video Diffusion Models cites this paper.

Latent-Compressed Variational Autoencoder for Video Diffusion Models Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 56

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arxiv_id, observed 2026-05-11T10:41:03.125071Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 93bb69bc-7543-435c-a1b8-111094802603 · inbound

Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation cites this paper.

Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 61

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arxiv_id, observed 2026-05-11T23:31:14.696999Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 941cf920-cc9c-4ca0-a84e-c8418149e6d3 · inbound

Latent Spatial Memory for Video World Models cites this paper.

Latent Spatial Memory for Video World Models Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 35

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arxiv_id, observed 2026-07-03T01:07:30.587853Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 30678511-71ce-468a-8f10-f678ea885493 · inbound

ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation cites this paper.

ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 65

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arxiv_id, observed 2026-07-03T08:17:45.984249Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 681a8020-43a1-4226-adc1-b85956972074 · inbound

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving cites this paper.

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 52

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arxiv_id, observed 2026-07-03T16:28:39.297616Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ac507f63-11fa-4442-843c-49d1a8888416 · inbound

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving cites this paper.

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 52

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arxiv_id, observed 2026-07-03T23:59:06.237173Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-03T23:50:39.241880Z digest=sha256:f7096beb34ea36c4dae7ba3633548106dbe31e8f381119c8c37248df30e13595

Observation 1877b772-c90a-41dd-a3f5-0dfcea0f0edd · inbound

Pulling The REINS: Training-Free Safety Alignment of Video Diffusion Models via Representation Steering cites this paper.

Pulling The REINS: Training-Free Safety Alignment of Video Diffusion Models via Representation Steering Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 7

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arxiv_id, observed 2026-07-03T17:48:45.923563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T03:44:36.071488Z digest=sha256:83ff6907a8280b28df9915f8dce5ff9df5bfbaebb420817485a87e2f6d473d7b

Observation e45895cf-ceea-407d-8868-265256749047 · inbound

Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing cites this paper.

Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 36

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arxiv_id, observed 2026-06-30T06:04:21.482838Z

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source=pdf_text observed=2026-06-30T06:00:24.487104Z digest=sha256:cfcc875b4501305ef07546e1ddc658d7e8eb1fe1998ce045eb76580119d40f53

Observation 1eba214e-1841-4764-8369-e564eb593781 · inbound

Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing cites this paper.

Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 35

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arxiv_id, observed 2026-07-01T06:35:29.265021Z

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source=pdf_text observed=2026-07-01T06:35:16.951243Z digest=sha256:a3e0e53e25cede1546dedca59de0286a7703a41dced1fc6c22b21dfd2602cf41

Observation d6158cb4-ae52-4857-9ecc-c5bbf7d84dff · inbound

SPLIT: Training-Free AI-Generated and Partially Edited Video Detection via Spatial Patch-Level Incoherence and Temporal Roughness cites this paper.

SPLIT: Training-Free AI-Generated and Partially Edited Video Detection via Spatial Patch-Level Incoherence and Temporal Roughness Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 66

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no resolver link, observed 2026-07-12T06:22:35.545340Z

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source=pdf_text observed=2026-07-12T06:22:35.545340Z digest=sha256:fd7bf371dee73be016b3375cf12dc8c552adffb011045583f896252e95a888ab

Observation c8465231-19bc-4364-bb0f-ef4413bb2645 · inbound

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence cites this paper.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 198

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:446285e3cce37de47b48ca781c0c8468339404fcb97582b1e759d2e5d286345a

Observation 3203101a-ac4c-4443-ab0f-8617b4b66545 · inbound

AgentHOI: Multi-Agent Reasoning for Human-Object-Interaction Video Generation via Implicit Representation Alignment cites this paper.

AgentHOI: Multi-Agent Reasoning for Human-Object-Interaction Video Generation via Implicit Representation Alignment Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 71

Resolution
unresolved
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